Abstract
The paper brings out a method on quantitative software trustworthy evaluation across software development life cycle. First, build hierarchical assessment model with decomposition of software trustworthy on every stages and design appropriate quantitative or qualitative metrics; then, take advantage of knowledge discovery in database techniques to obtain the weights of all software trustworthy characteristics; finally, make use of evidence theory to pretreatment and reason a huge number of multi-type measurement data. The example from engineering shows that it can effectively improve objectiveness and accuracy of the assessment results.
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Zhang, W., Liu, W., Wu, X. (2013). Quantitative Evaluation across Software Development Life Cycle Based on Evidence Theory. In: Huang, DS., Jo, KH., Zhou, YQ., Han, K. (eds) Intelligent Computing Theories and Technology. ICIC 2013. Lecture Notes in Computer Science(), vol 7996. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39482-9_41
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DOI: https://doi.org/10.1007/978-3-642-39482-9_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39481-2
Online ISBN: 978-3-642-39482-9
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